Los desastres inducidos por el cambio climático y las respuestas de las comunidades para protegerse y diseñar soluciones se han convertido en una de las principales prioridades de la agenda climática. En el centro de los debates sobre mitigación y adaptación han estado las poblaciones urbanas, especialmente en los asentamientos informales. Al mismo tiempo, se tiende a pasar por alto a las personas pobres de las zonas rurales con un acceso limitado o nulo a la tierra.

El día de la apertura de la #COP28, acompáñenos en un seminario web que invita a la reflexión y que profundiza en la intrincada relación entre la gobernanza de la tierra y la resiliencia climática, un área crítica que ha adquirido una inmensa importancia en el contexto de los desafíos climáticos globales y las prácticas de uso sostenible de la tierra. Este evento pretende desentrañar el papel crucial que desempeña la gobernanza inclusiva de la tierra en el aumento de la resiliencia climática. 

Building on the successful collaboration in last year’s Annual Conference, the IoS Fair Transitions Platform (UU) and LANDac are pleased to launch this Call for a second joint Conference, which will have a somewhat different set-up from what you are used to and end with a Summit. We welcome your suggestions for panel sessions and round tables for the first two days. Building on your input, we will conclude on the last day with an experiment of democracy – a more-than human Summit. There will be limited hybrid options for participation in the Conference and the Summit.

The 2023 United Nations Climate Change Conference or Conference of the Parties of the UNFCCC, more commonly referred to as COP28, will be the 28th United Nations Climate Change conference, held from November 30 until December 12, 2023, at the Expo City, Dubai. The conference has been held annually since the first UN climate agreement in 1992. It is used by governments to agree on policies to limit global temperature rises and adapt to impacts associated with climate change.

Las dos últimas cumbres mundiales de las Naciones Unidas sobre el clima han sido grandes  promesas para los Pueblos Indígenas. En la COP26 de 2021, los gobiernos y las organizaciones filantrópicas privadas prometieron casi 2.000 millones de dólares para apoyar los derechos de tenencia de los pueblos indígenas y las comunidades locales. La COP27 del año pasado llevó a la creación de un nuevo fondo de "pérdidas y daños" para ayudar a las comunidades vulnerables a responder a los desastres climáticos.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Earth Observations for Humanitarian Applications. Refugees, internally displaced people (IDPs), and other displaced populations are made more vulnerable to climate change impacts due to their socio-political marginalization. This three-part, intermediate training presents concrete strategies for mapping localized climate conditions with risks faced by refugee and IDP communities around the world.

The training will focus on flood risk assessments and specific challenges for assessing flood risk in refugee and IDP camps; gauging long-term heat stress in refugee camps and the challenges with decision making surrounding heat risk; and monitoring drought effects on agricultural landscapes in refugee settings using Earth observations (EO) to explore the correlations between anomalies in crop productivity and weather-based factors

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Introduction to Lightning Observations and Applications. This three-part, introductory training focuses on global and regional lightning data products that can be applied to disaster risk preparedness.

As the intensity and frequency of extreme weather events are likely to increase due to climate change impacts, lightning activity will likely increase as well, causing more power outages, increased risks of wildfire ignition, and increased numbers of injuries and fatalities. Therefore, information about lightning activity is critical for better preparedness against these disasters.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture. 

Este seminario web explorará cómo podría ser el acceso a la reparación para las comunidades en el sistema del mercado mundial del carbono, centrándose en cuestiones de tenencia de la tierra y los recursos. Escuchando a las comunidades afectadas por los mercados de carbono y a expertos en el diseño de mecanismos de reclamación, el seminario web destacará las características clave necesarias para que los mecanismos de reclamación sean accesibles, fiables y creíbles. El debate ofrecerá una aportación fundamental al mecanismo de reclamación propuesto para los mercados establecidos en virtud del artículo 6.4 del Acuerdo de París de la CMNUCC. 

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online, intermediate webinar series: Transforming Earth Observation (EO) Data into Building Infrastructure Data Sets for Disaster Risk Modeling. This three-part training, presented in English and Spanish, is open to the public and will cover the basics of natural hazard risk modeling and exposure development with a focus on fusing data from multiple datasets expressly for the purposes of risk assessment.  We will also present examples applying the techniques to applications related to flood risk assessment, climate adaptation, and earthquake modeling.